use Bauer_NationalLocal_JMCQ.dta

**Replication Data for Who Covers the Qualifications of Female Candidates? Examining Gender Bias in News Coverage Across National and Local Newspapers by Nichole Bauer, Journalism & Mass Communication Quarterlyx

**Models for Table 2 in main paper, and table A7 web appendix 3, and used to create the predicted probabilies in Figure 1
logit qual_any femalecand##supernational femaleauthor_prop  democrat incumbent  compete openseat paracandidate_prop state_elected house_member  localoffice stateleg novelty  masculinejob femininejob graduate ivyleague married children if mixed_sex==1 ,  cluster(fips)

logit feminine femalecand##supernational femaleauthor_prop  democrat incumbent  compete openseat paracandidate_prop state_elected house_member  localoffice stateleg novelty  masculinejob femininejob graduate ivyleague married children if mixed_sex==1 ,  cluster(fips)


** Models for Table 3 in main paper and Web Appendix 3, Table A8
**column 1
logit qual_any femalecand##c.femaleauthor_prop  democrat incumbent  compete openseat ///
paracandidate_prop state_elected house_member  localoffice stateleg novelty ///
masculinejob femininejob graduate ivyleague married children if mixed_sex==1&supernational==1 , cluster(fips)
**column 2
logit qual_any femalecand##c.femaleauthor_prop  democrat incumbent  compete openseat ///
paracandidate_prop state_elected house_member  localoffice stateleg novelty ///
masculinejob femininejob graduate ivyleague married children if mixed_sex==1&supernational==0 , cluster(fips)
**column 3
logit feminine femalecand##c.femaleauthor_prop  democrat incumbent  compete openseat ///
paracandidate_prop state_elected house_member  localoffice stateleg novelty ///
masculinejob femininejob graduate ivyleague married children if mixed_sex==1&supernational==1 , cluster(fips)
**column 4
logit feminine femalecand##c.femaleauthor_prop  democrat incumbent  compete openseat ///
paracandidate_prop state_elected house_member  localoffice stateleg novelty ///
masculinejob femininejob graduate ivyleague married children if mixed_sex==1&supernational==0 , cluster(fips)


**all women races, chi squared tests & cross-tables for figure 2
tab qual_any mixed_sex if supernational==1, chi col
tab qual_any mixed_sex if supernational==0, chi col

tab feminine mixed_sex if supernational==1, chi col
tab feminine mixed_sex if supernational==0, chi col


**Models in Appendices

**Table 9
logit qual_any femalecand##supernational##democrat femaleauthor_prop   incumbent  compete openseat paracandidate_prop state_elected house_member  localoffice stateleg novelty masculinejob femininejob graduate ivyleague married children if mixed_sex==1 , cluster(fips)

logit feminine femalecand##supernational##democrat femaleauthor_prop  incumbent  compete openseat paracandidate_prop state_elected house_member  localoffice stateleg novelty masculinejob femininejob  graduate ivyleague married children if mixed_sex==1 , cluster(fips)

logit qual_any femalecand##supernational##incumbent democrat femaleauthor_prop   compete openseat paracandidate_prop state_elected house_member  localoffice stateleg novelty masculinejob femininejob graduate ivyleague married children if mixed_sex==1 , cluster(fips)

logit feminine femalecand##supernational##incumbent democrat femaleauthor_prop   compete openseat paracandidate_prop state_elected house_member  localoffice stateleg novelty masculinejob femininejob  graduate ivyleague married children if mixed_sex==1 , cluster(fips)

**Table A10
logit qual_any allfemale##supernational##c.femaleauthor_prop  democrat   incumbent  compete openseat paracandidate_prop state_elected house_member  localoffice stateleg novelty masculinejob femininejob graduate ivyleague married children  , cluster(fips)

logit feminine allfemale##supernational##c.femaleauthor_prop  democrat   incumbent  compete openseat paracandidate_prop state_elected house_member  localoffice stateleg novelty masculinejob femininejob graduate ivyleague married children , cluster(fips)

**Table A11

logit political femalecand##supernational femaleauthor_prop  democrat incumbent compete openseat paracandidate_prop state_elected house_member  localoffice stateleg novelty masculinejob femininejob graduate ivyleague married children if mixed_sex==1 ,cluster(fips)

logit profexp femalecand##supernational femaleauthor_prop  democrat incumbent compete openseat paracandidate_prop state_elected house_member  localoffice stateleg novelty masculinejob femininejob graduate ivyleague married children if mixed_sex==1 ,cluster(fips)

logit academic femalecand##supernational femaleauthor_prop  democrat incumbent compete openseat paracandidate_prop state_elected house_member  localoffice stateleg novelty masculinejob femininejob graduate ivyleague married children if mixed_sex==1 ,cluster(fips)

** Table A12
logit famgender femalecand##supernational   democrat incumbent  compete openseat paracandidate_prop state_elected house_member  localoffice stateleg novelty masculinejob femininejob graduate ivyleague married children if mixed_sex==1 , cluster(fips)

**Table A13 

zinb firstfem  femalecand##supernational femaleauthor_prop  if mixed_sex==1, ///
inflate(cand_idnum) cluster(fips) 
